Bahria University Libraries: Recent submissions

  • Air Pollution Prediction System 
    03-135202-026, Aima Mujahid (2024-01-15)
    Air pollution is a great area of concern all across the world, involving life and the environment as a whole. All these areas of concern that regard life, the environment, health, and other different ecosystems need to ...
  • Loop 
    Muhammad Omer Shahzad, 01-135212-065; Zaid Ahmad, 01-135212-101 (Computer Sciences, 2025)
    The retail sector under present-day fast speed requirements seeks continuous methods to optimize efficiency together with strengthened security protocols while ensuring complete customer satisfaction. Businesses struggle ...
  • A Deep Learning Based Computational Model for Accurate Prediction of Antigenic Protein 
    Muhammad Iqbal, 01-243231-014 (Computer Sciences, 2025)
    Precise prediction of antigenic proteins (APs) is crucial for accelerating vaccine development, antibody engineering, and immunotherapeutic research. This study presents a novel and effective deep learning framework the ...
  • Intrusion Detection of Adaptive Attacks using Federated Learning 
    Laiba Gul, 01-243232-002 (Computer Sciences, 2025)
    The rapid expansion of the Internet of Things (IoT) has significantly increased the cyber-attack surface, exposing infrastructures to adaptive and stealthy threats. Traditional Intrusion Detection Systems (IDS), whether ...
  • A Framework for Detection of Fileless and Cryptojacking Malware 
    Muhammad Ahmed Raza, 01-247232-011 (Computer Sciences, 2025)
    The rise of stealthy and evasive mal ware particularly fileless mal ware and cryptojacking poses a significant challenge to traditional security mechanisms that rely on file-based signatures and static analysis. This thesis ...
  • Enhancing Pharmacological Interaction Prediction in Otolaryngology Using Computational Methods 
    Muhammad Junaid, 01-243232-004 (Computer Sciences, 2025)
    Drug-Drug Interactions (DDIs) cause major clinical challenges leading to adverse drug reactions, lower the therapeutic value of drugs, and increase the overall healthcare burden, especially in the otolaryngology domain ...
  • Anomalies Detection in Smart Building 
    Bushra Khadim, 01-249231-004 (Computer Sciences, 2025)
    Anomaly detection involves identifying data points or patterns that significantly diverge from expected behavior within a system, often due to external disruptions, faults, or uncertainties during operation. In smart ...
  • Classification of Functional and Non-functional Software Requirements from User App Reviews 
    Aleena Zainab, 01-243231-001 (Computer Sciences, 2025)
    This research explores the important difference between Functional Software Requirements (FRs) and Non-Functional Software Requirements (NFRs). FRs describe what a software system should do, such as user authentication and ...
  • Preventing Cryptojacking Malware Intrusion Using Multi-Layered Detection Methods 
    Abdullah Khan, .01-247222-002 (Computer Sciences, 2025)
    Cryptojacking, the forbidden exploitation of computing resources solely for cryptocurrency mining, represents as a continually growing cybersecurity threat due to it’s real ability for operating covertly across all multiple ...
  • Advanced Malware Detection for Proactive Defense Against Evolving Cyber Threat 
    Raad Ali Hashmi, 01-247222-007 (Computer Sciences, 2025)
    The rising complexity of malware, particularly in environments of high security like air-gapped networks, requires sophisticated detection mechanisms that can detect sophisticated and obfuscated threats. This thesis proposes ...
  • Pattern-Based Malware Analysis Using Convolutional Neural Networks (CNN) 
    Muhammad Haris Nawaz, 01-247232-008 (Computer Sciences, 2025)
    The detection of malware presents a serious concern in cybersecurity and classic techniques such as signature-based detection and heuristic analysis are not generally effective, being unable to effectively meet the changing ...
  • Pakistan Sign Language Recognition Using Deep Learning Models 
    03-135202-007, Muhammad Ali Warraich (2024-01-01)
    The objective of this project is to propose and develop sign language recognition system with simpler deep learning models. This report explores and compares different deep learning techniques used for the recognition of ...
  • A Hybrid Model for Threat Prediction and Anomaly Detection 
    Muhammad Zeshan Malik, 01-247232-013 (Computer Sciences, 2025)
    The sophistication and number of cyber threats in the current era have exposed the limitations of traditional intrusion detection systems (IDS), which rely on signature-based methods and struggle with high false positive ...
  • A Framework for the Detection of Advanced Persistent Threats (APT) using Cyber Incident Preports 
    Nadeem Akhtar, 01-247232-020 (Computer Sciences, 2025)
    Advanced persistent Threast are one of the largest threast in todays cybersecurity beacause they are defined by their stealty operation, longevity and purposeful goals. usually perpetrated by well funded, sophisticated ...
  • Designing an Anomaly Detection Framework for Identifying Unusual Traffic Conditions in Smart Cities IOT 
    Zain Ul Abdeen, 01-247232-019 (Computer Sciences, 2025)
    Fast population growth and the use of personal vehicles in modern cities challenge the effective operation of traffic in urban centers, as it creates congestion and accident-related problems. Static traffic management ...
  • FaceCast Vote 
    03-135202-008, Muhammad Amir (2024-06-01)
    The completion of this project explains the design of an e-voting system setup and software implementation that is efficiently secure and transparent through the use of facial recognition and blockchain. An easy registration ...
  • Try and Buy 
    03-135202-024, Ahmad Raza (2024-06-15)
    In the dynamic world of e-commerce, this cutting-edge mobile application offers a unique blend of shopping and augmented reality (AR) experiences. By seamlessly merging the digital and physical realms, the application ...
  • Track Me 
    03-135202-010, Muhammad Bazil Alam (2024-06-01)
    In modern days, Pakistan governments and its citizens face an increasing challenge of ensuring the safety of the citizens during any emergency. This calls for a dire need for the invention of a technology that fully entails ...
  • Efficacy of mhGAP-IG Intervention Guide in Reducing Stigma and Discrimination Among University Students of Swat (KPK) 
    03-275221-014, Murtaza khan (2024-03-01)
    The purpose of this study is to assess how the efficacy of mhGAP-IG intervention reduce discrimination and stigma among college students in universities of Malakand and Swat. A sample of (N= 100) participants having age ...
  • Impact of Internal Communication and Supply Chain Integration (Sci) On Project Performance: Shipbuilding Industry, Pakistan 
    03-398202-023, Moeen Ahmad Warraich (2024-03-01)
    Aim of the study is to examine the impact of internal communication on project performance with mediating role of supply chain integration and trust as moderator, a case of shipbuilding industry of Pakistan. The study ...